EP0661904A2 - Noise reducing microphone apparatus - Google Patents
Noise reducing microphone apparatus Download PDFInfo
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- EP0661904A2 EP0661904A2 EP95103564A EP95103564A EP0661904A2 EP 0661904 A2 EP0661904 A2 EP 0661904A2 EP 95103564 A EP95103564 A EP 95103564A EP 95103564 A EP95103564 A EP 95103564A EP 0661904 A2 EP0661904 A2 EP 0661904A2
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- microphone
- primary input
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- 230000001603 reducing effect Effects 0.000 title claims abstract description 18
- 230000003044 adaptive effect Effects 0.000 claims abstract description 52
- 238000006243 chemical reaction Methods 0.000 claims 2
- 230000005236 sound signal Effects 0.000 description 21
- 230000004048 modification Effects 0.000 description 12
- 238000012986 modification Methods 0.000 description 12
- 238000010586 diagram Methods 0.000 description 10
- 238000000034 method Methods 0.000 description 8
- 230000000694 effects Effects 0.000 description 6
- 238000001228 spectrum Methods 0.000 description 4
- 230000007423 decrease Effects 0.000 description 3
- 230000003247 decreasing effect Effects 0.000 description 2
- 230000006866 deterioration Effects 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 230000003213 activating effect Effects 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000000996 additive effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/20—Arrangements for obtaining desired frequency or directional characteristics
- H04R1/22—Arrangements for obtaining desired frequency or directional characteristics for obtaining desired frequency characteristic only
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/20—Arrangements for obtaining desired frequency or directional characteristics
- H04R1/32—Arrangements for obtaining desired frequency or directional characteristics for obtaining desired directional characteristic only
- H04R1/40—Arrangements for obtaining desired frequency or directional characteristics for obtaining desired directional characteristic only by combining a number of identical transducers
- H04R1/406—Arrangements for obtaining desired frequency or directional characteristics for obtaining desired directional characteristic only by combining a number of identical transducers microphones
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R3/00—Circuits for transducers, loudspeakers or microphones
- H04R3/005—Circuits for transducers, loudspeakers or microphones for combining the signals of two or more microphones
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2410/00—Microphones
- H04R2410/07—Mechanical or electrical reduction of wind noise generated by wind passing a microphone
Definitions
- This invention relates to a noise reducing microphone apparatus and, in particular, to such an apparatus for reducing noise components in microphone outputs.
- microphones are configured to convert changes in sound pressure of an acoustic wave to mechanical vibration of a diaphragm and to activate an electro-acoustic transducer system on the basis of the vibration. Therefore, if a factor affects the diaphragm when sound is picked up by the microphone, a noise is produced.
- a noise by wind (hereafter referred to as a wind noise) is produced, and if the factor is vibration, a noise by vibration (hereafter referred to as a vibration noise) is produced.
- Adaptive noise cancelling systems are disclosed in US-A-4 956 867 and US-A-4 912 387.
- the system disclosed by US-A-4 956 867 is in accordance with the precharacterising portion of claim 1 in which the outputs of two microphones are subtracted and adaptively filtered to produce a signal which can be subtracted from a primary signal to increase the signal to noise ratio.
- US-A-4 912 387 discloses a vibration reduction system which uses an adaptive filter.
- An aim of the preferred embodiments of the present invention is to provide a noise reducing microphone apparatus that can be small-scaled and can reliably eliminate a wind noise, a vibration noise, and so on.
- a noise reducing microphone apparatus having an adaptive noise canceller which has a primary input and a reference input and in which the reference input signal is, in use, passed through an adaptive filter and then subtracted from the primary input, the adaptive filter being, in use, adaptively controlled by an output signal resulting from the subtraction of the reference input signal from the primary input
- the adaptive filter being, in use, adaptively controlled by an output signal resulting from the subtraction of the reference input signal from the primary input
- a pair of microphone units disposed in close locations; vibration detecting means for detecting vibration given to said pair of microphone units from the outside; and adding and subtracting means for performing subtraction of outputs from said pair of microphone units and performing addition of an output from said vibration detecting means, wherein, in use, an output from one of said microphone units is supplied as the primary input signal of said adaptive noise canceller and an output from said adding and subtracting means is supplied as the reference input signal of said adaptive noise canceller.
- Outputs from a pair of microphones disposed in close locations originally include an audio signal component and a noise component (noise component caused by wind). These outputs from the microphones undergo subtraction.
- the output from one of the microphones includes the audio signal component and the noise component and a differential output from the pair of microphones include only a noise component.
- the output including the audio component and the noise component is used as the primary input while the differential output including only the noise component is used as the reference input.
- the reference input is adaptively processed to equalise with the noise component in the primary input.
- the adaptively processed reference input is subtracted from the primary input. As a result, only the noise component is cancelled from the primary input, and the audio signal component can be output in the original form.
- a pair of microphones 1 and 2 disposed in close locations detect ambient sound together with a wind noise, and output it in the form of an electrical signal. Since the microphones 1 and 2 are disposed in close locations, the same sound and wind noise are detected, and they are output in the form of electrical signals.
- Figure 3 shows an example of a frequency spectrum of a wind noise component included in the outputs from the microphones 1 and 2. It is known from Figure 3 that the wind noise mainly consists of low band components.
- the microphones 1 and 2 may be oriented in the same direction or, alternatively, they may be oriented in the opposite directions if the distance between the microphones 1 and 2 is within the wavelength defined by the frequency of a desired signal.
- An electrical signal output from the microphone 1 is supplied to an A/D converter 3 while an electrical signal output from the microphone 2 is supplied to an A/D converter 4.
- the A/D converters 3 and 4 convert the electrical signals supplied from the microphones 1 and 2 to digital signals.
- the digital signal converted by the A/D converter 3 is used as a primary input expressed by (S + n).
- the digital signal converted by the A/D converter 4 is expressed by (S + (n*)).
- S represents the audio signal component while n and (n*) represents the wind noise component.
- the noise component n has an additive property while the noise component (n*) is correlative with the noise component n in the primary input (S + n).
- the primary input (S + n) is supplied to a delay circuit 7 provided in an adaptive noise canceller 6.
- the primary input (S + n) is also supplied to an adder 5.
- an output of the A/D converter 4 is supplied to the adder 5.
- the adder 5 adds the primary input (S + n) to the output of the A/D converter 4 attached with a negative sign, that is, [-(S + (n*))]. Since the audio signal components S have sufficiently long wavelengths, they have substantially the same phase in the near place. Therefore, the audio signal components S are eliminated by executing subtraction. Accordingly, a reference input expressed by (n - (n*)) is created.
- Fig. 4 shows an example of coherence of the wind noise component generated in the pair of microphones 1 and 2. It has been known, as shown in Fig. 4, that, in general, wind noise components produced in two acoustic terminals represent a low correlation even in the near place. Therefore, a difference between outputs from the microphones 1 and 2 does not become zero, and creation of the reference input (n - (n*)) is possible.
- Fig. 5 shows a frequency spectrum of the reference input (n - (n*)). The reference input (n - (n*)) is supplied to an adaptive filter 9 in the adaptive noise canceller 6.
- the delay circuit 7 in the adaptive noise canceller 6 outputs the primary input (S + n) after a delay of a predetermined time.
- the amount of the delay is equivalent to a time delay required for computation for adaptive processing or to a time delay in the adaptive filter 9, and so on, and can be set adequately in accordance with the arrangement of a system.
- the primary input (S + n) which has passed the delay circuit 7 is supplied to an adder 8.
- the adder 8 executes addition of the output from the delay circuit 7 and a signal Y attached with a negative sign and output from the adaptive filter 9 which will be described later.
- the signal Y is a component analogous to the noise component n in the primary input (S + n). Therefore, the signal Y, which is a component analogous to the noise component n, is subtracted from the primary input (S + n) by the adder 8, and the audio signal component S remains. In other words, the noise component n in the primary input (S + n) is minimized.
- the audio signal component S is supplied to a D/A converter 10 and also fed back to the adaptive filter 9.
- the audio signal component S expressed in the form of a digital signal is converted to an analog signal by the D/A converter 10, and it is taken out from a terminal 11.
- Fig. 6 shows a result of noise reduction by the foregoing system.
- Fig. 6 illustrates the main input (S + n), that is, the output from the microphone 1, shown by a solid line, and a system output, that is, the output from the adaptive noise canceller 6, by a broken line.
- a sine wave of 500 Hz which is a pseudo representation of the audio signal component S is added.
- the adaptive filter 9 creates the signal Y as a component analogous to the noise component n in the primary input (S + n). That is, its filtering characteristic is automatically adjusted from time to time so that the output from the adaptive noise canceller 6 resembles the audio signal component S in the primary input (S + n).
- An adaptive linear coupler of an FIR filter type shown in Fig. 2 is used as the adaptive filter 9.
- DL1 to DLL denote delay circuits
- MP1 to MPL denote coefficient multipliers.
- Reference numeral 16 refers to an adder, and 15 and 17 to input/output terminals.
- [Z ⁇ 1] in the delay circuits DL1 to DLL represents a delay of a unit sampling time
- W nk supplied to the coefficient multipliers MP1 to MPL represents a weighting coefficient. If the weighting coefficient W nk is fixed, the filter behaves as a normal FIR digital filter.
- the device By renewing the weighting vector from time to time as explained above, the device behaves to minimize the output power of the system. This operation is explained below in a formulated manner.
- Emin[ ⁇ 2] E[S2] + E[(n - Y)2] Since E[S2] is not affected, minimization of E[ ⁇ 2] means minimization of E[(n - Y)2]. Therefore, the output Y of the adaptive filter 9 is an optimum estimated value of least square of [n].
- the differential output ⁇ in general, includes a certain amount of noise component in addition to the audio signal component S. Since the noise component output is defined by (n - Y), minimization of E[( ⁇ - Y)2] is equivalent to maximization of signal-to-noise ratio of the output.
- Fig. 7 shows a first modification of the foregoing system.
- the first modification is based on the frequency spectrum of a wind noise component being concentrated in low bands. Circuit elements common to those in the foregoing system are labelled with the same reference numerals and their redundant explanation is omitted.
- the first modification is different from the foregoing system in that a line 23 connecting the output of the microphone 1 to the terminal 11 is provided and that a high pass filter 22 is interposed in the line 23. Further, low pass filters 21 are interposed between the microphones 1,2 and the A/D converters 3,4, when necessary. The low pass filter 21 may be interposed between the terminal 11 and the D/A converter 10 in the output site of the system, and the other terminal of the line 23 may be coupled between the low pass filter 21 and the terminal 11.
- This arrangement makes it possible to obtain an audio signal component S which is a mixture of a low band audio signal component S L , in which the wind noise component has been reduced by the adaptive noise canceller 6, and a high band audio signal component S H , which is obtained from the microphone 1 through the high pass filter 22 and from which the wind noise component has been cut.
- the other arrangements, their operation and effects are equal to those of the foregoing system, and their redundant explanation is omitted.
- Figure 8 shows a second modification of this system.
- the second modification is different from the foregoing system in that the adder 5 is replaced by an analog adder 25 and that the analog adder 25 is located between the microphones 1,2 and the A/D converters 3,4. That is, a reference input in analog form.
- the other arrangements, their operations and effects are equal to those of the foregoing system. Elements common to the foregoing system, are therefore labelled with the same reference numerals, and their redundant explanation is omitted.
- the primary input (S+n) and the reference input (n-(n*)) are created on the basis of the outputs from the pair of microphones 1 and 2 disposed in close locations.
- the signal Y analogous to the noise component n in the primary input (S+n) is created on the basis of the reference input (n-(n*)).
- a wind noise component can be cancelled without using a windscreen.
- the embodiment since the microphones 1 and 2 are disposed in close locations, the embodiment contributes to scale reduction of the apparatus. In regard of cancellation of a wind noise component, since no electroacoustic high pass filter is required, deterioration of the sound pickup quality is prevented.
- the adaptive noise canceller 6 since the adaptive noise canceller 6 is used, the characteristic of the adaptive filter 9 is automatically renewed, regardless of changes in the wind noise characteristic (for example level or spectral distribution and so on), and the wind noise component can be reduced in a stable manner.
- the wind noise characteristic for example level or spectral distribution and so on
- Figures 9 and 10 show an embodiment of the invention.
- the embodiment is different from the foregoing system in that not only a wind noise but also a vibration noise caused by vibrations are taken into consideration. That is, as shown in Figure 9, there are provided a vibration sensor 31 for detecting vibrations and an A/D converter 32 for converting an analog output from the vibration sensor 31 into a digital signal.
- the adder 5 shown in the previous systems is replaced by an adder 33 which can perform addition and subtraction of three inputs.
- Elements common to those of the foregoing systems, are labelled with the same reference numerals, and their redundant explanation is omitted.
- Outputs from the microphones 1 and 2 respectively include an audio signal component S and a noise component including a wind noise and a vibration noise.
- An electrical signal output from the microphone 1 is supplied to the A/D converter 3 and converted into a digital signal by the A/D converter 3. As a result, a primary input is created.
- the primary input is supplied to the delay circuit 7 in the adaptive noise canceler 6.
- the primary input is also supplied to the adder 33.
- An electrical signal output from the microphone 2 is supplied to the A/D converter 4 and converted into a digital signal by the A/D converter 4.
- the digital signal is supplied to the adder 33.
- a vibration component detected by the vibration sensor 31 is converted into a digital signal by the A/D converter 32.
- the digital signal is supplied to the adder 33.
- the adder 33 adds outputs from the A/D converters 3 and 32 to the output from the A/D converter 4 attached with a negative sign.
- the audio signal component S is eliminated, and a noise component consisting of the wind noise and the vibration noise is created for use as a reference input.
- a signal Y is created on the basis of the reference input. The signal Y is subtracted from the primary input by the adder 8, which results in cancelling the noise component consisting of the wind noise and the vibration noise, and the audio signal component S is output.
- the noise component consists of the wind noise and the vibration noise and that both the wind noise and the vibration noise can be cancelled
- the operations and effects are otherwise equal to those of the foregoing systems and their redundant explanation is omitted.
- Figure 10 shows a modification of the above embodiment. This modification is different in that the adder 33 is replaced by an analog adder 35 and that the analog adder 35 is located between the microphone 2 and the A/D converter 4.
- the invention has, in addition to the features of the earlier described system, the arrangement in which vibrations are detected by the vibration sensor 31, and the vibration component detected by the vibration sensor 31 is supplied to the adder 33. Therefore, the reference input consisting of the wind noise and vibration noise is created.
- the adaptive filter 9 creates the signal Y analogous to the noise component in the primary input. When the signal Y is subtracted from the primary input by the adder 8, the noise component is cancelled, and the audio signal component S is output.
- the invention allows the cancellation of the vibration noise component, and can realise an excellent sound pickup quality with a single processing system without preparing different processing systems for different kinds of noises.
- the invention has been explained as being directed to a noise component consisting of a wind noise and a vibration noise. However, it is not limited to this, but may target only a vibration noise.
- the noise reducing device described above is applicable to various kinds of recording systems. For example, they are applicable to a small-scaled portable video camera apparatus to detect and eliminate vibrations caused by a user, vibrations caused by mechanical systems, and so on in addition to a wind noise. Further, the pair of microphones 1 and 2 used in the embodiments may be either directional or non-directional.
- the noise reducing microphone apparatus described above has the effect that a wind noise component can be cancelled without using a windscreen. Close positional relationship between the pair of microphones contributes to scale reduction of the apparatus. Because of no electro-acoustic high pass filter or the like being required, deterioration of the sound pickup quality is prevented.
- the use of the adaptive noise canceller gives the effect that the characteristic of the adaptive filter is automatically renewed, regardless of a change in the nature of a wind noise (for example, level or spectral distribution, etc.), and the wind noise component is stably reduced.
- a wind noise for example, level or spectral distribution, etc.
- a vibration noise component can be cancelled. Further, an excellent sound pickup quality can be realized with a single processing system without using different processing systems for different kinds of noises.
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Abstract
Description
- This invention relates to a noise reducing microphone apparatus and, in particular, to such an apparatus for reducing noise components in microphone outputs.
- Most of microphones are configured to convert changes in sound pressure of an acoustic wave to mechanical vibration of a diaphragm and to activate an electro-acoustic transducer system on the basis of the vibration. Therefore, if a factor affects the diaphragm when sound is picked up by the microphone, a noise is produced.
- If the factor is wind, a noise by wind (hereafter referred to as a wind noise) is produced, and if the factor is vibration, a noise by vibration (hereafter referred to as a vibration noise) is produced.
- There are, for example, the following existing techniques for reducing a wind noise:
- (1) the use of a windscreen
- (2) the use of an electro-acoustic high pass filter
- (3) the use of an arrangement representing a non-directional property in low sound ranges
- (1) the use of a vibration isolating mechanism
- (2) the use of a non-directional microphone element
- (3) an analog noise-canceling method
- (1) In the case where a windscreen is used, in general, as the outer dimension of the windscreen increases and as the distance between the microphone and the inner wall of the windscreen increases, a wind noise decreases. However, the size of the microphone apparatus increases.
- (2) Since a wind noise mainly consists of low band components, it is certainly effective for the wind noise to cut the low band components by using a high pass filter. However, since low band components of the sound itself are also cut in addition to the wind noise, the sound pickup quality is decreased.
- (3) With a non-directional microphone, in comparison with a directional microphone, the level of a wind noise decreases more. Practically, however, because of affection by a casing surrounding the microphone, the noise is not decreased to a sufficiently low level only by employing an "arrangement representing a non-directional property in low sound ranges".
- Therefore, under the present circumstances where both a smaller dimension of a device including a microphone and a higher sound pickup quality of the microphone are desired, more reduction of a wind noise is difficult only with the existing techniques. This also applies to a vibration noise.
- On the other hand, as a technique for eliminating a noise incorporated into a signal, an adaptive noise cancelling has been known (B Windrow et al "Adaptive noise cancelling: principles and applications" Proc IEEE, Vol 63, No 12, pp 1692-1716, Dec 1975).
- According to the technique, it is necessary to supply noise components which are strongly correlated with a noise to be eliminated as a reference input signal. However, it is very difficult in a small apparatus to supply only noises such as a wind noise which is received from the same direction as necessary sounds and so on to a reference input.
- Adaptive noise cancelling systems are disclosed in US-A-4 956 867 and US-A-4 912 387. The system disclosed by US-A-4 956 867 is in accordance with the precharacterising portion of
claim 1 in which the outputs of two microphones are subtracted and adaptively filtered to produce a signal which can be subtracted from a primary signal to increase the signal to noise ratio. US-A-4 912 387 discloses a vibration reduction system which uses an adaptive filter. - An aim of the preferred embodiments of the present invention is to provide a noise reducing microphone apparatus that can be small-scaled and can reliably eliminate a wind noise, a vibration noise, and so on.
- According to an aspect of the invention, there is provided a noise reducing microphone apparatus having an adaptive noise canceller which has a primary input and a reference input and in which the reference input signal is, in use, passed through an adaptive filter and then subtracted from the primary input, the adaptive filter being, in use, adaptively controlled by an output signal resulting from the subtraction of the reference input signal from the primary input comprising:
a pair of microphone units disposed in close locations;
vibration detecting means for detecting vibration given to said pair of microphone units from the outside; and
adding and subtracting means for performing subtraction of outputs from said pair of microphone units and performing addition of an output from said vibration detecting means,
wherein, in use, an output from one of said microphone units is supplied as the primary input signal of said adaptive noise canceller and an output from said adding and subtracting means is supplied as the reference input signal of said adaptive noise canceller. - Outputs from a pair of microphones disposed in close locations originally include an audio signal component and a noise component (noise component caused by wind). These outputs from the microphones undergo subtraction. As a result, the output from one of the microphones includes the audio signal component and the noise component and a differential output from the pair of microphones include only a noise component. The output including the audio component and the noise component is used as the primary input while the differential output including only the noise component is used as the reference input.
- The reference input is adaptively processed to equalise with the noise component in the primary input. The adaptively processed reference input is subtracted from the primary input. As a result, only the noise component is cancelled from the primary input, and the audio signal component can be output in the original form.
- The invention will now be described by way of example only, with reference to the accompanying drawings, in which:-
- Figure 1 is a block diagram of a noise cancelling system given for explanation.
- Figure 2 is a block diagram of an arrangement of an adaptive filter;
- Figure 3 is a diagram showing the frequency spectrum of a wind noise component;
- Figure 4 is a diagram showing the rate of correlation of wind noise components picked up by a pair of microphones;
- Figure 5 is a diagram showing an example of a differential output of the wind noise components picked up by the pair of microphones;
- Figure 6 is a waveform diagram showing the noise reducing effects;
- Figure 7 is a block diagram showing a first modification of the above system;
- Figure 8 is a block diagram of a modification of the above system;
- Figure 9 is a block diagram of an embodiment of the invention; and
- Figure 10 is a block diagram of a modification of the embodiment of Figure 9.
- A noise reducing system will be described with reference to Figures 1 to 8 which, while not within the terms of
claim 1, is helpful to understand the embodiments of the invention shown in Figures 9 and 10. - As shown in Figure 1, a pair of
microphones microphones microphones - The
microphones microphones microphone 1 is supplied to an A/D converter 3 while an electrical signal output from themicrophone 2 is supplied to an A/D converter 4. - The A/
D converters microphones
signals. The digital signal converted by the A/D converter 3 is used as a primary input expressed by (S + n). The digital signal converted by the A/D converter 4 is expressed by (S + (n*)). In the digital signals, S represents the audio signal component while n and (n*) represents the wind noise component. The noise component n has an additive property while the noise component (n*) is correlative with the noise component n in the primary input (S + n). - The primary input (S + n) is supplied to a
delay circuit 7 provided in anadaptive noise canceller 6. The primary input (S + n) is also supplied to anadder 5. In addition, an output of the A/D converter 4 is supplied to theadder 5. - The
adder 5 adds the primary input (S + n) to the output of the A/D converter 4 attached with a negative sign, that is, [-(S + (n*))]. Since the audio signal components S have sufficiently long wavelengths, they have substantially the same phase in the near place. Therefore, the audio signal components S are eliminated by executing subtraction. Accordingly, a reference input expressed by (n - (n*)) is created. - Explained below is creation of the reference input (n - (n*)).
- Fig. 4 shows an example of coherence of the wind noise component generated in the pair of
microphones microphones adaptive filter 9 in theadaptive noise canceller 6. - The
delay circuit 7 in theadaptive noise canceller 6 outputs the primary input (S + n) after a delay of a predetermined time. The amount of the delay is equivalent to a time delay required for computation for adaptive processing or to a time delay in theadaptive filter 9, and so on, and can be set adequately in accordance with the arrangement of a system. The primary input (S + n) which has passed thedelay circuit 7 is supplied to anadder 8. - The
adder 8 executes addition of the output from thedelay circuit 7 and a signal Y attached with a negative sign and output from theadaptive filter 9 which will be described later. The signal Y, as explained later, is a component analogous to the noise component n in the primary input (S + n). Therefore, the signal Y, which is a component analogous to the noise component n, is subtracted from the primary input (S + n) by theadder 8, and the audio signal component S remains. In other words, the noise component n in the primary input (S + n) is minimized. - The audio signal component S is supplied to a D/
A converter 10 and also fed back to theadaptive filter 9. The audio signal component S expressed in the form of a digital signal is converted to an analog signal by the D/A converter 10, and it is taken out from a terminal 11. - Fig. 6 shows a result of noise reduction by the foregoing system. Fig. 6 illustrates the main input (S + n), that is, the output from the
microphone 1, shown by a solid line, and a system output, that is, the output from theadaptive noise canceller 6, by a broken line. A sine wave of 500 Hz which is a pseudo representation of the audio signal component S is added. - It is known from Fig. 6 that the decrease of the level of the signal (broken line in Fig. 6), which is the output from the
adaptive noise canceller 6, is remarkable as compared with the level of the noise component n (solid line in Fig. 6) in the output from themicrophone 1. It is also known that the sine wave of 500 Hz maintains its level regardless of the presence or absence of theadaptive noise canceller 6. - Explained below is operation of the
adaptive filter 9 of theadaptive noise canceller 6. - The
adaptive filter 9 creates the signal Y as a component analogous to the noise component n in the primary input (S + n). That is, its filtering characteristic is automatically adjusted from time to time so that the output from theadaptive noise canceller 6 resembles the audio signal component S in the primary input (S + n). - An adaptive linear coupler of an FIR filter type shown in Fig. 2 is used as the
adaptive filter 9. In the construction of Fig. 2, DL1 to DLL denote delay circuits, and MP1 to MPL denote coefficient multipliers.Reference numeral 16 refers to an adder, and 15 and 17 to input/output terminals. - [Z⁻¹] in the delay circuits DL1 to DLL represents a delay of a unit sampling time, and Wnk supplied to the coefficient multipliers MP1 to MPL represents a weighting coefficient. If the weighting coefficient Wnk is fixed, the filter behaves as a normal FIR digital filter.
- Explained below is an algorithm for adaptively activating the
adaptive filter 9. Although various algorithms may be used for computation in theadaptive filter 9, the following explanation is directed to LMS (least mean square), which is practical and often used because of a relatively less amount of computation: - If an input vector Xk is expressed by:
an output Yk from theadaptive filter 9 is given by:
Let an output from thedelay circuit 7 be dk, then its differential output [residual output] is:
By the LMS (least mean square) method, renewal of the weighting vector Wk is performed in accordance with the following equation:
µ in the foregoing equation is a gain factor determining the speed and stability of the adaptation, which is so called a step gain. - By renewing the weighting vector from time to time as explained above, the device behaves to minimize the output power of the system. This operation is explained below in a formulated manner. When the
delay circuit 7 is disregarded for simplification, the differential output ε from theadder 8 is:
An expected value of square of (ε) is expressed by:
Since S is not correlative with n and Y, in the above equation,
Therefore, the expected value E[ε²] of square of (ε) is expressed by:
Although theadaptive filter 9 is adjusted to minimize E[ε²], E[S²] is not affected. As a result,
Since E[S²] is not affected, minimization of E[ε²] means minimization of E[(n - Y)²]. Therefore, the output Y of theadaptive filter 9 is an optimum estimated value of least square of [n]. -
- The differential output ε, in general, includes a certain amount of noise component in addition to the audio signal component S. Since the noise component output is defined by (n - Y), minimization of E[(ε - Y)²] is equivalent to maximization of signal-to-noise ratio of the output.
- Fig. 7 shows a first modification of the foregoing system. The first modification is based on the frequency spectrum of a wind noise component being concentrated in low bands. Circuit elements common to those in the foregoing system are labelled with the same reference numerals and their redundant explanation is omitted.
- The first modification is different from the foregoing system in that a
line 23 connecting the output of themicrophone 1 to the terminal 11 is provided and that ahigh pass filter 22 is interposed in theline 23. Further, low pass filters 21 are interposed between themicrophones D converters low pass filter 21 may be interposed between the terminal 11 and the D/A converter 10 in the output site of the system, and the other terminal of theline 23 may be coupled between thelow pass filter 21 and the terminal 11. - This arrangement makes it possible to obtain an audio signal component S which is a mixture of a low band audio signal component SL, in which the wind noise component has been reduced by the
adaptive noise canceller 6, and a high band audio signal component SH, which is obtained from themicrophone 1 through thehigh pass filter 22 and from which the wind noise component has been cut. The other arrangements, their operation and effects are equal to those of the foregoing system, and their redundant explanation is omitted. - Figure 8 shows a second modification of this system. The second modification is different from the foregoing system in that the
adder 5 is replaced by ananalog adder 25 and that theanalog adder 25 is located between themicrophones D converters - According to the system above, the primary input (S+n) and the reference input (n-(n*)) are created on the basis of the outputs from the pair of
microphones adaptive filter 9, the signal Y analogous to the noise component n in the primary input (S+n) is created on the basis of the reference input (n-(n*)). By subtracting the signal Y from the primary input (S+n) by theadder 8, the noise component n is cancelled, and the audio signal component S is output. - Therefore, by using a pair of
normal microphones microphones - Moreover, since the
adaptive noise canceller 6 is used, the characteristic of theadaptive filter 9 is automatically renewed, regardless of changes in the wind noise characteristic (for example level or spectral distribution and so on), and the wind noise component can be reduced in a stable manner. - Figures 9 and 10 show an embodiment of the invention. The embodiment is different from the foregoing system in that not only a wind noise but also a vibration noise caused by vibrations are taken into consideration. That is, as shown in Figure 9, there are provided a
vibration sensor 31 for detecting vibrations and an A/D converter 32 for converting an analog output from thevibration sensor 31 into a digital signal. Theadder 5 shown in the previous systems is replaced by anadder 33 which can perform addition and subtraction of three inputs. Elements common to those of the foregoing systems, are labelled with the same reference numerals, and their redundant explanation is omitted. - Outputs from the
microphones - An electrical signal output from the
microphone 1 is supplied to the A/D converter 3 and converted into a digital signal by the A/D converter 3. As a result, a primary input is created. The primary input is supplied to thedelay circuit 7 in theadaptive noise canceler 6. The primary input is also supplied to theadder 33. - An electrical signal output from the
microphone 2 is supplied to the A/D converter 4 and converted into a digital signal by the A/D converter 4. The digital signal is supplied to theadder 33. - A vibration component detected by the
vibration sensor 31 is converted into a digital signal by the A/D converter 32. The digital signal is supplied to theadder 33. - The
adder 33 adds outputs from the A/D converters D converter 4 attached with a negative sign. As a result of the addition and subtraction, the audio signal component S is eliminated, and a noise component consisting of the wind noise and the vibration noise is created for use as a reference input. After this, a signal Y is created on the basis of the reference input. The signal Y is subtracted from the primary input by theadder 8, which results in cancelling the noise component consisting of the wind noise and the vibration noise, and the audio signal component S is output. - Excepting that the noise component consists of the wind noise and the vibration noise and that both the wind noise and the vibration noise can be cancelled, the operations and effects are otherwise equal to those of the foregoing systems and their redundant explanation is omitted.
- Figure 10 shows a modification of the above embodiment. This modification is different in that the
adder 33 is replaced by ananalog adder 35 and that theanalog adder 35 is located between themicrophone 2 and the A/D converter 4. - Since the other arrangements, their operations and effects are equal to those of the above embodiment and the second modificaiton of the earlier described system, common elements are labelled with the same reference numerals, and their redundant explanation is omitted. Although not illustrated, the same arrangements as those of the first modification of the earlier described system may be employed with the invention.
- Thus, the invention has, in addition to the features of the earlier described system, the arrangement in which vibrations are detected by the
vibration sensor 31, and the vibration component detected by thevibration sensor 31 is supplied to theadder 33. Therefore, the reference input consisting of the wind noise and vibration noise is created. On the basis of the reference input, theadaptive filter 9 creates the signal Y analogous to the noise component in the primary input. When the signal Y is subtracted from the primary input by theadder 8, the noise component is cancelled, and the audio signal component S is output. - Therefore, the invention allows the cancellation of the vibration noise component, and can realise an excellent sound pickup quality with a single processing system without preparing different processing systems for different kinds of noises.
- The invention has been explained as being directed to a noise component consisting of a wind noise and a vibration noise. However, it is not limited to this, but may target only a vibration noise.
- The noise reducing device described above is applicable to various kinds of recording systems. For example, they are applicable to a small-scaled portable video camera apparatus to detect and eliminate vibrations caused by a user, vibrations caused by mechanical systems, and so on in addition to a wind noise. Further, the pair of
microphones - Having described specific preferred embodiments of the present invention with reference to the accompanying drawings, it is to be understood that the invention is not limited to those precise embodiments,and that various changes and modifications may be effected therein by one skilled in the art without departing from the scope of the invention as defined in the appended claims.
- The noise reducing microphone apparatus described above has the effect that a wind noise component can be cancelled without using a windscreen. Close positional relationship between the pair of microphones contributes to scale reduction of the apparatus. Because of no electro-acoustic high pass filter or the like being required, deterioration of the sound pickup quality is prevented.
- Further, the use of the adaptive noise canceller gives the effect that the characteristic of the adaptive filter is automatically renewed, regardless of a change in the nature of a wind noise (for example, level or spectral distribution, etc.), and the wind noise component is stably reduced.
- In addition, a vibration noise component can be cancelled. Further, an excellent sound pickup quality can be realized with a single processing system without using different processing systems for different kinds of noises.
Claims (5)
- A noise reducing microphone apparatus having an adaptive noise canceller (6) which has a primary input (S+n) and a reference input and in which the reference input signal (n-n*) is, in use, passed through an adaptive filter (9) and then subtracted from the primary input, the adaptive filter (8) being, in use, adaptively controlled by an output signal resulting from the subtraction of the reference input signal from the primary input comprising:
a pair of microphone units (1,2) disposed in close locations;
vibration detecting means (31) for detecting vibration given to said pair of microphone units (1,2) from the outside; and
adding and subtracting means (5) for performing subtraction of outputs from said pair of microphone units (1,2) and performing addition of an output from said vibration detecting means (31),
wherein, in use, an output from one of said microphone units (1,2) is supplied as the primary input signal of said adaptive noise canceller (6) and an output from said adding and subtracting means (5) is supplied as the reference input signal of said adaptive noise canceller (6). - A noise reducing microphone apparatus according to claim 1, further comprising analog-to-digital conversion means (3,4) for converting the output of the microphone units (1,2) before said subtraction in said subtracting means (5).
- A noise reducing microphone apparatus according to claim 1, further comprising analog-to-digital conversion means (3,4) for converting the primary input (S+n) and reference input signal (n-n*) and inputting the converted signals to the adaptive noise canceller (6).
- A recording system including a noise reducing microphone apparatus as claimed in any of the preceding claims.
- A video camera including a noise reducing microphone apparatus as claimed in any of claims 1 to 3.
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP34927491 | 1991-12-06 | ||
JP349274/91 | 1991-12-06 | ||
JP34927491A JP3279612B2 (en) | 1991-12-06 | 1991-12-06 | Noise reduction device |
EP92311101A EP0545731B1 (en) | 1991-12-06 | 1992-12-04 | Noise reducing microphone apparatus |
Related Parent Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP92311101.7 Division | 1992-12-04 | ||
EP92311101A Division EP0545731B1 (en) | 1991-12-06 | 1992-12-04 | Noise reducing microphone apparatus |
Publications (3)
Publication Number | Publication Date |
---|---|
EP0661904A2 true EP0661904A2 (en) | 1995-07-05 |
EP0661904A3 EP0661904A3 (en) | 1995-08-09 |
EP0661904B1 EP0661904B1 (en) | 2000-03-08 |
Family
ID=18402660
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Application Number | Title | Priority Date | Filing Date |
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EP92311101A Expired - Lifetime EP0545731B1 (en) | 1991-12-06 | 1992-12-04 | Noise reducing microphone apparatus |
EP95103564A Expired - Lifetime EP0661904B1 (en) | 1991-12-06 | 1992-12-04 | Noise reducing microphone apparatus |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP92311101A Expired - Lifetime EP0545731B1 (en) | 1991-12-06 | 1992-12-04 | Noise reducing microphone apparatus |
Country Status (6)
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---|---|
US (1) | US5917921A (en) |
EP (2) | EP0545731B1 (en) |
JP (1) | JP3279612B2 (en) |
KR (1) | KR100238630B1 (en) |
DE (2) | DE69208234T2 (en) |
TW (1) | TW246761B (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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EP1675366A1 (en) | 2004-12-22 | 2006-06-28 | Broadcom Corporation | Wireless telephone having two microphones |
US7983720B2 (en) | 2004-12-22 | 2011-07-19 | Broadcom Corporation | Wireless telephone with adaptive microphone array |
US8428661B2 (en) | 2007-10-30 | 2013-04-23 | Broadcom Corporation | Speech intelligibility in telephones with multiple microphones |
US8509703B2 (en) | 2004-12-22 | 2013-08-13 | Broadcom Corporation | Wireless telephone with multiple microphones and multiple description transmission |
Families Citing this family (97)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE4330143A1 (en) * | 1993-09-07 | 1995-03-16 | Philips Patentverwaltung | Arrangement for signal processing of acoustic input signals |
GB2286945A (en) * | 1994-02-03 | 1995-08-30 | Normalair Garrett | Noise reduction system |
US6324290B1 (en) * | 1994-03-08 | 2001-11-27 | Bridgestone Corporation | Method and apparatus for diagnosing sound source and sound vibration source |
US5473684A (en) * | 1994-04-21 | 1995-12-05 | At&T Corp. | Noise-canceling differential microphone assembly |
US5835608A (en) * | 1995-07-10 | 1998-11-10 | Applied Acoustic Research | Signal separating system |
GB2330048B (en) * | 1997-10-02 | 2002-02-27 | Sony Uk Ltd | Audio signal processors |
US6278377B1 (en) | 1999-08-25 | 2001-08-21 | Donnelly Corporation | Indicator for vehicle accessory |
DE19814180C1 (en) * | 1998-03-30 | 1999-10-07 | Siemens Audiologische Technik | Digital hearing aid with variable directional microphone characteristic |
JP4163294B2 (en) * | 1998-07-31 | 2008-10-08 | 株式会社東芝 | Noise suppression processing apparatus and noise suppression processing method |
JP2002530922A (en) * | 1998-11-13 | 2002-09-17 | ビットウェイブ・プライベイト・リミテッド | Apparatus and method for processing signals |
DE19853884A1 (en) * | 1998-11-23 | 2000-05-25 | Deutsche Telekom Ag | Keyboard for entering data or control commands into computer has microphone arranged above upper row of keys |
JP3642460B2 (en) * | 1998-12-07 | 2005-04-27 | 松下電器産業株式会社 | Digital handset |
US6480824B2 (en) * | 1999-06-04 | 2002-11-12 | Telefonaktiebolaget L M Ericsson (Publ) | Method and apparatus for canceling noise in a microphone communications path using an electrical equivalence reference signal |
US6790821B1 (en) * | 1999-06-21 | 2004-09-14 | The Procter & Gamble Company | Process for coating detergent granules in a fluidized bed |
AU763363B2 (en) * | 1999-08-03 | 2003-07-17 | Widex A/S | Hearing aid with adaptive matching of microphones |
GB9922654D0 (en) * | 1999-09-27 | 1999-11-24 | Jaber Marwan | Noise suppression system |
US8682005B2 (en) * | 1999-11-19 | 2014-03-25 | Gentex Corporation | Vehicle accessory microphone |
US7447320B2 (en) * | 2001-02-14 | 2008-11-04 | Gentex Corporation | Vehicle accessory microphone |
US7120261B1 (en) * | 1999-11-19 | 2006-10-10 | Gentex Corporation | Vehicle accessory microphone |
US6888949B1 (en) * | 1999-12-22 | 2005-05-03 | Gn Resound A/S | Hearing aid with adaptive noise canceller |
US6980092B2 (en) * | 2000-04-06 | 2005-12-27 | Gentex Corporation | Vehicle rearview mirror assembly incorporating a communication system |
US6668062B1 (en) * | 2000-05-09 | 2003-12-23 | Gn Resound As | FFT-based technique for adaptive directionality of dual microphones |
WO2001097558A2 (en) * | 2000-06-13 | 2001-12-20 | Gn Resound Corporation | Fixed polar-pattern-based adaptive directionality systems |
US6320968B1 (en) * | 2000-06-28 | 2001-11-20 | Esion-Tech, Llc | Adaptive noise rejection system and method |
US20030179888A1 (en) * | 2002-03-05 | 2003-09-25 | Burnett Gregory C. | Voice activity detection (VAD) devices and methods for use with noise suppression systems |
US8019091B2 (en) | 2000-07-19 | 2011-09-13 | Aliphcom, Inc. | Voice activity detector (VAD) -based multiple-microphone acoustic noise suppression |
US8280072B2 (en) | 2003-03-27 | 2012-10-02 | Aliphcom, Inc. | Microphone array with rear venting |
US7246058B2 (en) * | 2001-05-30 | 2007-07-17 | Aliph, Inc. | Detecting voiced and unvoiced speech using both acoustic and nonacoustic sensors |
US20070233479A1 (en) * | 2002-05-30 | 2007-10-04 | Burnett Gregory C | Detecting voiced and unvoiced speech using both acoustic and nonacoustic sensors |
DE10045197C1 (en) * | 2000-09-13 | 2002-03-07 | Siemens Audiologische Technik | Operating method for hearing aid device or hearing aid system has signal processor used for reducing effect of wind noise determined by analysis of microphone signals |
US6963649B2 (en) * | 2000-10-24 | 2005-11-08 | Adaptive Technologies, Inc. | Noise cancelling microphone |
US20020099541A1 (en) * | 2000-11-21 | 2002-07-25 | Burnett Gregory C. | Method and apparatus for voiced speech excitation function determination and non-acoustic assisted feature extraction |
MXPA03007128A (en) * | 2001-02-14 | 2003-11-18 | Gentex Corp | Vehicle accessory microphone. |
US8452023B2 (en) | 2007-05-25 | 2013-05-28 | Aliphcom | Wind suppression/replacement component for use with electronic systems |
WO2002098169A1 (en) * | 2001-05-30 | 2002-12-05 | Aliphcom | Detecting voiced and unvoiced speech using both acoustic and nonacoustic sensors |
US6859420B1 (en) | 2001-06-26 | 2005-02-22 | Bbnt Solutions Llc | Systems and methods for adaptive wind noise rejection |
US7248703B1 (en) * | 2001-06-26 | 2007-07-24 | Bbn Technologies Corp. | Systems and methods for adaptive noise cancellation |
EP1425738A2 (en) * | 2001-09-12 | 2004-06-09 | Bitwave Private Limited | System and apparatus for speech communication and speech recognition |
US7245726B2 (en) * | 2001-10-03 | 2007-07-17 | Adaptive Technologies, Inc. | Noise canceling microphone system and method for designing the same |
US20030095674A1 (en) * | 2001-11-20 | 2003-05-22 | Tokheim Corporation | Microphone system for the fueling environment |
US7079645B1 (en) | 2001-12-18 | 2006-07-18 | Bellsouth Intellectual Property Corp. | Speaker volume control for voice communication device |
US7023984B1 (en) | 2002-03-21 | 2006-04-04 | Bellsouth Intellectual Property Corp. | Automatic volume adjustment of voice transmitted over a communication device |
US6978010B1 (en) * | 2002-03-21 | 2005-12-20 | Bellsouth Intellectual Property Corp. | Ambient noise cancellation for voice communication device |
CA2479758A1 (en) * | 2002-03-27 | 2003-10-09 | Aliphcom | Microphone and voice activity detection (vad) configurations for use with communication systems |
US7274621B1 (en) | 2002-06-13 | 2007-09-25 | Bbn Technologies Corp. | Systems and methods for flow measurement |
US20040032509A1 (en) * | 2002-08-15 | 2004-02-19 | Owens James W. | Camera having audio noise attenuation capability |
JP4196162B2 (en) * | 2002-08-20 | 2008-12-17 | ソニー株式会社 | Automatic wind noise reduction circuit and automatic wind noise reduction method |
US7255196B1 (en) | 2002-11-19 | 2007-08-14 | Bbn Technologies Corp. | Windshield and sound-barrier for seismic sensors |
US9066186B2 (en) | 2003-01-30 | 2015-06-23 | Aliphcom | Light-based detection for acoustic applications |
WO2004068464A2 (en) * | 2003-01-30 | 2004-08-12 | Aliphcom, Inc. | Acoustic vibration sensor |
US9099094B2 (en) | 2003-03-27 | 2015-08-04 | Aliphcom | Microphone array with rear venting |
US7023379B2 (en) * | 2003-04-03 | 2006-04-04 | Gentex Corporation | Vehicle rearview assembly incorporating a tri-band antenna module |
CN1910823A (en) * | 2003-05-19 | 2007-02-07 | 金泰克斯公司 | Rearview mirror assemblies incorporating hands-free telephone components |
US7657038B2 (en) * | 2003-07-11 | 2010-02-02 | Cochlear Limited | Method and device for noise reduction |
US20050058313A1 (en) | 2003-09-11 | 2005-03-17 | Victorian Thomas A. | External ear canal voice detection |
US7463744B2 (en) | 2003-10-31 | 2008-12-09 | Bose Corporation | Porting |
US7284431B1 (en) | 2003-11-14 | 2007-10-23 | Bbn Technologies Corp. | Geophone |
KR101118217B1 (en) * | 2005-04-19 | 2012-03-16 | 삼성전자주식회사 | Audio data processing apparatus and method therefor |
US8351632B2 (en) | 2005-08-23 | 2013-01-08 | Analog Devices, Inc. | Noise mitigating microphone system and method |
US8130979B2 (en) * | 2005-08-23 | 2012-03-06 | Analog Devices, Inc. | Noise mitigating microphone system and method |
US7697827B2 (en) | 2005-10-17 | 2010-04-13 | Konicek Jeffrey C | User-friendlier interfaces for a camera |
US8467672B2 (en) * | 2005-10-17 | 2013-06-18 | Jeffrey C. Konicek | Voice recognition and gaze-tracking for a camera |
US20070213010A1 (en) * | 2006-03-13 | 2007-09-13 | Alon Konchitsky | System, device, database and method for increasing the capacity and call volume of a communications network |
WO2008014324A2 (en) * | 2006-07-25 | 2008-01-31 | Analog Devices, Inc. | Multiple microphone system |
US7720457B2 (en) * | 2006-10-19 | 2010-05-18 | Motorola, Inc. | Method and apparatus for minimizing noise on a power supply line of a mobile radio |
US20080175408A1 (en) * | 2007-01-20 | 2008-07-24 | Shridhar Mukund | Proximity filter |
WO2008116264A1 (en) * | 2007-03-26 | 2008-10-02 | Cochlear Limited | Noise reduction in auditory prostheses |
JP4990981B2 (en) | 2007-10-04 | 2012-08-01 | パナソニック株式会社 | Noise extraction device using a microphone |
JP5257366B2 (en) | 2007-12-19 | 2013-08-07 | 富士通株式会社 | Noise suppression device, noise suppression control device, noise suppression method, and noise suppression program |
WO2009143434A2 (en) | 2008-05-23 | 2009-11-26 | Analog Devices, Inc. | Wide dynamic range microphone |
US8218397B2 (en) * | 2008-10-24 | 2012-07-10 | Qualcomm Incorporated | Audio source proximity estimation using sensor array for noise reduction |
US8229126B2 (en) * | 2009-03-13 | 2012-07-24 | Harris Corporation | Noise error amplitude reduction |
US8477973B2 (en) | 2009-04-01 | 2013-07-02 | Starkey Laboratories, Inc. | Hearing assistance system with own voice detection |
US9219964B2 (en) | 2009-04-01 | 2015-12-22 | Starkey Laboratories, Inc. | Hearing assistance system with own voice detection |
TWI396190B (en) * | 2009-11-03 | 2013-05-11 | Ind Tech Res Inst | Noise reduction system and noise reduction method |
US8538035B2 (en) | 2010-04-29 | 2013-09-17 | Audience, Inc. | Multi-microphone robust noise suppression |
US8473287B2 (en) | 2010-04-19 | 2013-06-25 | Audience, Inc. | Method for jointly optimizing noise reduction and voice quality in a mono or multi-microphone system |
US8781137B1 (en) | 2010-04-27 | 2014-07-15 | Audience, Inc. | Wind noise detection and suppression |
EP2384023A1 (en) | 2010-04-28 | 2011-11-02 | Nxp B.V. | Using a loudspeaker as a vibration sensor |
US9558755B1 (en) | 2010-05-20 | 2017-01-31 | Knowles Electronics, Llc | Noise suppression assisted automatic speech recognition |
US8447596B2 (en) | 2010-07-12 | 2013-05-21 | Audience, Inc. | Monaural noise suppression based on computational auditory scene analysis |
US9357307B2 (en) | 2011-02-10 | 2016-05-31 | Dolby Laboratories Licensing Corporation | Multi-channel wind noise suppression system and method |
US9648421B2 (en) | 2011-12-14 | 2017-05-09 | Harris Corporation | Systems and methods for matching gain levels of transducers |
JP6015279B2 (en) * | 2012-09-20 | 2016-10-26 | アイシン精機株式会社 | Noise removal device |
US9640194B1 (en) | 2012-10-04 | 2017-05-02 | Knowles Electronics, Llc | Noise suppression for speech processing based on machine-learning mask estimation |
US9319150B2 (en) * | 2012-10-29 | 2016-04-19 | Dell Products, Lp | Reduction of haptic noise feedback in system |
JP6127579B2 (en) * | 2012-12-11 | 2017-05-17 | 株式会社Jvcケンウッド | Noise removal apparatus, noise removal method, and noise removal program |
US9131307B2 (en) | 2012-12-11 | 2015-09-08 | JVC Kenwood Corporation | Noise eliminating device, noise eliminating method, and noise eliminating program |
US9173024B2 (en) | 2013-01-31 | 2015-10-27 | Invensense, Inc. | Noise mitigating microphone system |
DE102014204557A1 (en) | 2014-03-12 | 2015-09-17 | Siemens Medical Instruments Pte. Ltd. | Transmission of a wind-reduced signal with reduced latency |
DE112015003945T5 (en) | 2014-08-28 | 2017-05-11 | Knowles Electronics, Llc | Multi-source noise reduction |
CN104469621B (en) * | 2014-12-09 | 2018-09-11 | 歌尔智能科技有限公司 | A kind of voice remote controller anti-jamming circuit and method |
WO2016173959A1 (en) | 2015-04-28 | 2016-11-03 | Bayer Pharma Aktiengesellschaft | Regorafenib for treating colorectal cancer |
KR101684537B1 (en) * | 2015-07-07 | 2016-12-08 | 현대자동차 주식회사 | Microphone, manufacturing methode and control method therefor |
US11120814B2 (en) | 2016-02-19 | 2021-09-14 | Dolby Laboratories Licensing Corporation | Multi-microphone signal enhancement |
WO2017143105A1 (en) | 2016-02-19 | 2017-08-24 | Dolby Laboratories Licensing Corporation | Multi-microphone signal enhancement |
EP3714689A1 (en) | 2019-03-27 | 2020-09-30 | Bayer Aktiengesellschaft | Apparatus for insect control |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4956867A (en) * | 1989-04-20 | 1990-09-11 | Massachusetts Institute Of Technology | Adaptive beamforming for noise reduction |
JPH02244098A (en) * | 1989-03-16 | 1990-09-28 | Aisin Seiki Co Ltd | Voice signal processor |
EP0430513A2 (en) * | 1989-11-27 | 1991-06-05 | Matsushita Electric Industrial Co., Ltd. | Microphone apparatus |
EP0452103B1 (en) * | 1990-04-09 | 1995-09-27 | Sony Corporation | Microphone apparatus |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3803357A (en) * | 1971-06-30 | 1974-04-09 | J Sacks | Noise filter |
JPS5931111Y2 (en) * | 1980-07-19 | 1984-09-04 | パイオニア株式会社 | dynamic microphone |
US4658256A (en) * | 1985-09-12 | 1987-04-14 | Sperry Corporation | Combined monopulse comparator and adaptive noise canceller for antennas |
US4912387A (en) * | 1988-12-27 | 1990-03-27 | Westinghouse Electric Corp. | Adaptive noise cancelling for magnetic bearing auto-balancing |
-
1991
- 1991-12-06 JP JP34927491A patent/JP3279612B2/en not_active Expired - Fee Related
-
1992
- 1992-11-20 TW TW081109295A patent/TW246761B/zh active
- 1992-11-26 KR KR1019920022415A patent/KR100238630B1/en not_active Expired - Fee Related
- 1992-12-04 EP EP92311101A patent/EP0545731B1/en not_active Expired - Lifetime
- 1992-12-04 DE DE69208234T patent/DE69208234T2/en not_active Expired - Fee Related
- 1992-12-04 DE DE69230767T patent/DE69230767T2/en not_active Expired - Fee Related
- 1992-12-04 EP EP95103564A patent/EP0661904B1/en not_active Expired - Lifetime
-
1995
- 1995-04-17 US US08/424,581 patent/US5917921A/en not_active Expired - Fee Related
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH02244098A (en) * | 1989-03-16 | 1990-09-28 | Aisin Seiki Co Ltd | Voice signal processor |
US4956867A (en) * | 1989-04-20 | 1990-09-11 | Massachusetts Institute Of Technology | Adaptive beamforming for noise reduction |
EP0430513A2 (en) * | 1989-11-27 | 1991-06-05 | Matsushita Electric Industrial Co., Ltd. | Microphone apparatus |
EP0452103B1 (en) * | 1990-04-09 | 1995-09-27 | Sony Corporation | Microphone apparatus |
Non-Patent Citations (1)
Title |
---|
PATENT ABSTRACTS OF JAPAN vol. 14, no. 569 (P-1144) 18 December 1990 & JP-A-02 244 098 (AISIN SEIKI) 28 September 1990 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1675365A1 (en) * | 2004-12-22 | 2006-06-28 | Broadcom Corporation | Wireless telephone having two microphones |
EP1675366A1 (en) | 2004-12-22 | 2006-06-28 | Broadcom Corporation | Wireless telephone having two microphones |
US7983720B2 (en) | 2004-12-22 | 2011-07-19 | Broadcom Corporation | Wireless telephone with adaptive microphone array |
US8509703B2 (en) | 2004-12-22 | 2013-08-13 | Broadcom Corporation | Wireless telephone with multiple microphones and multiple description transmission |
US8948416B2 (en) | 2004-12-22 | 2015-02-03 | Broadcom Corporation | Wireless telephone having multiple microphones |
US8428661B2 (en) | 2007-10-30 | 2013-04-23 | Broadcom Corporation | Speech intelligibility in telephones with multiple microphones |
Also Published As
Publication number | Publication date |
---|---|
EP0661904A3 (en) | 1995-08-09 |
EP0545731B1 (en) | 1996-02-07 |
DE69230767T2 (en) | 2000-06-29 |
DE69208234D1 (en) | 1996-03-21 |
DE69208234T2 (en) | 1996-08-01 |
EP0545731A1 (en) | 1993-06-09 |
EP0661904B1 (en) | 2000-03-08 |
KR100238630B1 (en) | 2000-01-15 |
DE69230767D1 (en) | 2000-04-13 |
JP3279612B2 (en) | 2002-04-30 |
JPH05161191A (en) | 1993-06-25 |
TW246761B (en) | 1995-05-01 |
US5917921A (en) | 1999-06-29 |
KR930015944A (en) | 1993-07-24 |
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